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We consider the calibration of parameters in physical models described by partial differential equations.
We consider two different physical models described by specific partial differential equations (PDEs) for real-life problems.
We try to stabilize equilibrium solutions of physical models described by a class of coupled first-order linear partial differential equations with nonlinear boundary conditions.
Physical models described by mathematical equations can be solved by a multitude of solvers such as MATLAB, Mathematica, COMSOL, etc. Compact models which have been translated to work in the circuit level are generally simulated using the SPICE framework.
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Alternative methods for civil unrest forecasting are based on physical models describing large-scale theories of population behavior (e.g. [6],[6],[6]]).
These mathematical, physical models describe the behavior of different types of pavement systems and they will be studied in great depth.
The set of physical models describing the momentum exchange between the phases was chosen according to previous experiences of the authors.
Several authors characterized the photo-induced absorption (PA) in a-Si H by performing suita-Si Hhysical models describyng the operformingificationsuitable illuminated material.
We try to stabilize steady solutions of a physical model described by wave equations with nonlinear boundary conditions.
The code is based on a physical model described in a previous report where the electrons are modeled as an adiabatic fluid with an arbitrary ratio of specific heats γ and the electromagnetic field model is based on a temporal Wentzel Krammers Brillouin (WKB) approximation.
Our equations geometrically generalize a physical model describing the motion of vortex filament.
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